The algorithm USES the Expectation Maximization (EM) clustering method to identify clusters and their sequences.

该算法采用期望最大化(EM)聚类分析方法来识别分类及其顺序。

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To improve the accuracy of tracking the complex maneuver target in cluttered environment, a new state estimation algorithm based on the expectation maximization (EM) algorithm is presented.

为了提高在杂波环境下跟踪强机动目标的精度，提出了一种新的基于期望极大化(EM)算法的机动目标状态估计方法。

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We resort to expectation maximization (EM) algorithm for both the estimation of model parameters and the coping with missing values.

这里，期望最大化算法既用来处理丢失值又用来估计模型参数。

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The deconvolved results with the compensated data and the original image data by expectation maximization (EM) algorithm for reducing the effect of out of focus light were compared respectively.

在此基础上给出期望最大化算法图像恢复结果，并对恢复结果做出分析。

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To overcome the overflow difficulty existing in HMT model, a scaling algorithm is developed to improve expectation maximization (EM) algorithm.

为了克服HMT模型存在的计算溢出困难，采用尺度变换对EM算法进行了改进。

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This paper proposes to overcome those problems by incorporating the improved RPCL (rival penalized competitive learning)algorithm and the EM(expectation maximization)algorithm into the EBF structure.

本文提出用结合改进的RPCL算法和EM算法的EBF网络结构来解决上述问题。

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For speaker identification, Expectation Maximization Algorithm (EM) is adopted to train speaker dependent model, and afterwards recognize speaker according to Maximum a Posteriori Criterion (MAP).

对于语者辨识，语者特定模型直接用语者的语料借助于期望值最大化算法（EM）来训练，辨识算法采用了最大事后概率法则（MAP）；

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For speaker identification, Expectation Maximization Algorithm (EM) is adopted to train speaker dependent model, and afterwards recognize speaker according to Maximum a Posteriori Criterion (MAP).

对于语者辨识，语者特定模型直接用语者的语料借助于期望值最大化算法（EM）来训练，辨识算法采用了最大事后概率法则（MAP）；

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